NVIDIA jobs

Senior Manager, Engineering - AI Developer Tools at NVIDIA is a U.S.-based remote-eligible role managing 4–8 engineers building AI developer tools and experiences for local and cloud GPUs. Requirements include BS/MS in Computer Science or equivalent plus 8+ years hands-on AI/developer tools experience with 4+ years engineering leadership. Responsibilities span team development, roadmap collaboration, cross-organization alignment, and engineering efficiency through tooling and automation.

Manager, EDA Tools and Relationships at NVIDIA is a U.S.-based circuit methodology engineering role leading a team responsible for EDA tool evaluation, workflow integration, and vendor management. Requirements include 10+ years in circuit design methodology or CAD/EDA infrastructure and 3+ years of management experience with hands-on expertise in Cadence, Siemens, and Synopsys environments. Compensation range is $196k–$368k depending on level, with a focus on technical enablement and design quality.

Senior Product Development Engineer position at NVIDIA for silicon bring-up and testing. Responsibilities include wafer-level and package-level NPI bring-up, ATE strategy, silicon characterization, yield analysis, and multi-functional root-cause investigations. Requires EE degree, 5+ years experience, and familiarity with Teradyne/Advantest platforms. Located in US, full-time; salary range $136k–$212.75k (Level 3) to $168k–$258.75k (Level 4).

Software Engineering Manager - Image and Data Compression Libraries at NVIDIA is a remote U.S.-based role managing a team of engineers developing accelerated image and data processing solutions. Requirements include a BS/MS in Computer Science or related field and 5+ years experience with 3+ in team management, strong C++ and Python skills, and experience with parallel programming. Compensation ranges from $200k–$322k, with focus on team leadership, project roadmap development, and technical execution.

Senior Deep Learning Frameworks CUDA Software Engineer position at NVIDIA. Integrates advanced CUDA features into AI stacks (PyTorch, TRT-LLM, vLLM, SGLang, JAX); analyzes AI workloads and frameworks to identify optimization opportunities. Responsibilities include PoC-to-production integration, performance analysis, fault-tolerant system design, and collaboration with AI researchers and framework teams. Requires 8+ years industry experience, development experience with Deep Learning Frameworks and Inference Engines, Python/C++/CUDA proficiency. Remote, US-based, full-time.

Senior Director, Supply Planning Networking Products at NVIDIA is a U.S.-based role (Santa Clara, CA) developing supply planning strategy for networking products in AI and data center markets. Requirements include 18+ years supply planning experience with deep optics/switches expertise, 8+ years leading teams, and proven success in implementing planning tools and methodologies. Responsibilities span end-to-end supply planning governance, planning framework scaling, team development, and adoption of AI-driven planning capabilities.